Investor Readiness: Accelerate Your Funding with Confidence
Show Investors You're Audit-Ready, Funding-Ready, Future-Ready.
Investors don't just fund ideas. They fund trust.
With Block Convey's Investor Readiness reports, you show VCs and angels that your AI models are transparent, compliant, and where you would invest the money.
Get Your Investor Readiness Report
Why Investor Readiness Matters
Funding Faster
Cut due diligence time by up to 60% with pre-built compliance and risk insights.
Data-Backed Confidence
Demonstrate performance, fairness, and governance metrics that investors demand.
Valuation Booster
Highlight improvements between pre- and post-investment model versions.
Strategic Investment
Where the investment will go and why that improvement is needed for better sales.
What's Inside an Investor Readiness Report
Performance Benchmarks
Clear ranges showing where your AI stands today (e.g., 'Model Accuracy: 88% - Within Optimal Range').
ROI Scenarios
Example: 'Improving accuracy by 1% could approve 5 more customers in a 500-person dataset = more revenue potential.'
Compliance Mapping
Evidence your model aligns with AI regulations (NIST, ISO, EU AI Act).
Risk Indicators
Identify overtraining, bias, and gaps investors should factor into scaling plans.
Improvement Pathway
Pre- and post-investment roadmap showcasing how new funding translates into model performance.
How It Works
Evaluate
We run your model through Block Convey's AI governance engine.
Score
Generate risk, compliance, and performance scores investors can trust.
Report
Deliver a PDF dashboard tailored for investors, easy to share in boardrooms or pitch decks.
Plan
Outline the 'use of funds' tied directly to AI risk & performance improvements.
Why Investors Love It
Pre-Investment
Spot weak areas early and justify why funding is needed.
Post-Investment
Show measurable improvements in fairness, performance, and readiness.
Comparative Edge
Stand out from competitors by proving AI is responsibly managed.
Case Study Scenario
Fintech KYC Model
Pre-Investment
Model accuracy = 88% (optimal but improvable).
Investor Insight
Each 1% accuracy gain could approve 5 more customers per 500 applications, unlocking more revenue.
Post-Investment
Accuracy improved to 91% with bias reduced by 12%.
Outcome
Faster approvals, higher compliance score, and investor confidence in scalability.